CN113658684B - Consultation result generation method and device, electronic equipment and storage medium - Google Patents
Consultation result generation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a consultation result generation method, a consultation result generation device, electronic equipment and a storage medium. The method comprises the following steps: determining a recommendation keyword for describing a consultation result of the consultation request user based on user information authorized by the consultation request user and consultation condition information of the consultation response user; sending the recommended keywords to a target consultation terminal corresponding to the consultation response user; and determining target keywords from the recommended keywords based on the received selection information fed back by the target consultation terminal, and generating target consultation results based on the target keywords. The technical scheme of the embodiment of the invention can improve the generation efficiency of the target consultation result, greatly reduce the time and workload of the consultation response user and improve the consultation efficiency; and the process of generating the target consultation result is not easy to make mistakes, so that the user experience is improved.
Description
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a consultation result generation method and device, electronic equipment and a storage medium.
Background
In recent years, with the rapid development of internet technology, an online consultation platform is widely applied to various industries.
In the prior art, when a consultation request user inquires through a consultation platform, a consultation response user can acquire personal information authorized by the consultation request user from the consultation platform, acquire corresponding analysis results and advice contents according to the authorized personal information, and then manually input the analysis results or the advice contents to the consultation platform through input equipment so as to generate consultation results to be fed back to the consultation request user.
However, when the number of users is large, a large amount of time is required to be consumed by manual input, so that the consultation efficiency is low; and the input is easy to make mistakes, so that the analysis result of the user is influenced, and the user experience is reduced.
Disclosure of Invention
The embodiment of the invention provides a method, a device, electronic equipment and a storage medium for generating a consultation result, which are used for realizing that a consultation response user can automatically generate a corresponding target consultation result by selecting a recommended keyword, improving the generation efficiency of the target consultation result, greatly reducing the time and the workload of the consultation response user and improving the consultation efficiency; and the process of generating the target consultation result is not easy to make mistakes, so that the user experience is improved.
In a first aspect, an embodiment of the present invention provides a method for generating a consultation result, which may include:
Determining a recommendation keyword for describing a consultation result of a consultation request user based on user information authorized by the consultation request user and consultation condition information of a consultation response user;
Sending the recommended keywords to a target consultation terminal corresponding to the consultation response user;
And determining target keywords in the recommended keywords based on the received selection information fed back by the target consultation terminal, and generating target consultation results based on the target keywords.
In a second aspect, an embodiment of the present invention further provides a consultation result generating device, which may include:
A recommendation keyword determining module, configured to determine a recommendation keyword for describing a consultation result of a consultation request user based on user information authorized by the consultation request user and consultation condition information of a consultation response user;
the recommendation keyword sending module is used for sending the recommendation keywords to target consultation terminals corresponding to the consultation response users;
And the consultation result generation module is used for determining target keywords from the recommended keywords based on the received selection information fed back by the target consultation terminal, and generating target consultation results based on the target keywords.
In a third aspect, an embodiment of the present invention further provides an electronic device, which may include:
One or more processors;
A memory for storing one or more programs;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the consultation result generation method provided by any of the embodiments of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the consultation result generating method provided by any embodiment of the present invention.
According to the consultation result generation method provided by the embodiment of the invention, the recommendation keywords for describing the consultation result of the consultation request user are determined based on the user information authorized by the consultation request user and the consultation condition information of the consultation response user; sending the recommended keywords to a target consultation terminal corresponding to the consultation response user; and sending the recommended keywords to the target consultation terminal, so that selection is provided for the consultation response user, the target keywords are determined in the recommended keywords based on the received selection information fed back by the target consultation terminal, and a target consultation result is generated based on each target keyword. Therefore, the consultation response user can automatically generate the corresponding target consultation result by selecting the recommended keywords, the generation efficiency of the target consultation result is improved, the time and the workload of the consultation response user are greatly reduced, and the consultation efficiency is improved; and the process of generating the target consultation result is not easy to make mistakes, so that the user experience is improved.
In addition, the consultation result generating device, the electronic equipment and the storage medium provided by the invention correspond to the method and have the same beneficial effects.
Drawings
For a clearer description of embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described, it being apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.
FIG. 1 is a flowchart of a method for generating a consultation result according to an embodiment of the present invention;
FIG. 2 is a flowchart of another method for generating consultation results according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for generating consultation results in an application scenario according to an embodiment of the present invention;
FIG. 4 is a block diagram of a consultation result generating device according to an embodiment of the present invention;
Fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
The core of the invention is to provide a method, a device, an electronic device and a storage medium for generating the consultation result, so that the consultation response user can automatically generate the corresponding target consultation result by selecting the recommended keywords, the generation efficiency of the target consultation result is improved, the time and the workload of the consultation response user are greatly reduced, and the consultation efficiency is improved; and the process of generating the target consultation result is not easy to make mistakes, so that the user experience is improved.
In order to better understand the aspects of the present invention, the present invention will be described in further detail with reference to the accompanying drawings and detailed description.
Example 1
FIG. 1 is a flowchart of a method for generating a consultation result according to an embodiment of the present invention. The method can be implemented by the consultation result generating device provided by the embodiment of the invention, the device can be implemented by software and/or hardware, and the device can be integrated on various user terminals or servers.
As shown in fig. 1, the method in the embodiment of the invention specifically includes the following steps:
s101, determining recommendation keywords for describing the consultation results of the consultation request user based on the user information authorized by the consultation request user and the consultation condition information of the consultation response user.
It should be noted that, the consultation result generating method provided by the embodiment of the invention can be applied to various scenes, such as when a user purchases medicine, the consultation result of the medicine is correspondingly provided according to the user information; on-line diagnosis, on-line diagnosis results are provided, etc. In order to further clarify the technical solution of the method for the person skilled in the art, the following description will take an application scenario of online consultation as an example.
Optionally, the user information authorized by the consultation requesting user includes information of name, gender, age, height, weight, occupation, etc. of the consultation requesting user. Further, the user information can authorize the service related information according to the service type requested by the consultation request user. For example, when the consultation request user is a doctor user, the consultation response user is a medical staff, and the requested service type is online doctor, the user information also includes information such as physical symptoms, medical history, allergy history and medicine taking condition of the consultation request user.
Optionally, the information of the consultation condition of the consultation response user includes information such as name, gender, professional condition, duration of time, field of engagement, and historical response record of the consultation response user. Along the above example, when the consultation response user is a medical staff, the consultation condition information may include the name, age, duration of the doctor, department of the doctor and history diagnosis record of the medical staff.
In a specific implementation, the recommendation keywords may be determined based on user information authorized by the consultation requesting user and consultation condition information of the consultation answering user. Specifically, the recommended keywords are specifically used for describing the consultation results of the consultation request user.
S102, sending the recommended keywords to a target consultation terminal corresponding to the consultation response user.
In particular implementations, the determined recommendation keywords can be provided to the consultation response user for selection. Specifically, the recommended keywords are sent to the target consultation terminals corresponding to the consultation response users, and the recommended keywords are displayed in a screen display or voice playing mode. Further, when the number of recommended keywords is two or more, the recommended keywords may be sent to the target consultation terminal one by one, or all the recommended keywords may be sent at the same time, which is not limited in the embodiment of the present invention.
Optionally, sending the recommended keyword to a target consultation terminal corresponding to the consultation response user includes: and determining the recommendation scores corresponding to the recommendation keywords, and sequentially sending the corresponding recommendation keywords to the target consultation terminal according to the sequence from big to small of the recommendation scores corresponding to the recommendation keywords.
Specifically, a corresponding recommendation score may be calculated for each recommendation keyword. The recommendation score is used to reflect the likelihood that the recommended keyword is the target keyword. The recommendation keywords corresponding to the recommendation keywords can be sequentially sent to the target consultation terminal according to the sequence from big to small, so that when the recommendation keywords are displayed for the consultation response user, the recommendation keywords with the maximum recommendation scores are displayed first, the efficiency of determining the target keywords by the consultation response user is improved, and the time of the consultation response user is saved.
S103, determining target keywords in the recommended keywords based on the received selection information fed back by the target consultation terminal, and generating target consultation results based on the target keywords.
In this embodiment, after receiving the recommended keywords, the target consultation terminal displays the recommended keywords to the consultation response user, and the consultation response user selects the recommended keywords that can be used to generate the target consultation result by clicking the target consultation terminal display screen or voice input. Selection information is generated based on the selected recommended keywords. The selection mode comprises that only one recommended keyword is selected, a plurality of recommended keywords can be selected, or neither recommended keyword is selected, and the target consultation terminal generates selection information based on the selected recommended keywords. After receiving the selection information fed back by the target consultation terminal, the selected recommended keywords can be determined to be target keywords, and further, the target consultation result is generated through the target keywords.
According to the consultation result generation method provided by the embodiment of the invention, the recommendation keywords for describing the consultation result of the consultation request user are determined based on the user information authorized by the consultation request user and the consultation condition information of the consultation response user; sending the recommended keywords to a target consultation terminal corresponding to the consultation response user; and sending the recommended keywords to the target consultation terminal, so that selection is provided for the consultation response user, the target keywords are determined in the recommended keywords based on the received selection information fed back by the target consultation terminal, and a target consultation result is generated based on each target keyword. Therefore, the consultation response user can automatically generate the corresponding target consultation result by selecting the recommended keywords, the generation efficiency of the target consultation result is improved, the time and the workload of the consultation response user are greatly reduced, and the consultation efficiency is improved; and the process of generating the target consultation result is not easy to make mistakes, so that the user experience is improved.
Example two
FIG. 2 is a flowchart of another method for generating consultation results according to an embodiment of the present invention. The present embodiment is optimized based on the above technical solutions. Optionally, determining the recommendation keyword for describing the consultation result of the consultation request user includes: determining alternative keywords for describing the consultation result of the consultation request user; calculating alternative scores of the alternative keywords based on the user information and the consultation condition information; and sequencing the candidate keywords according to the sequence from the big score to the small score, and selecting a first preset number of candidate keywords in the sequence from front to back as recommended keywords. Optionally, the method further comprises: determining whether adding information for adding keywords, which is sent by a target consultation terminal, is received within a preset time period; if yes, determining an added keyword based on the added information, and determining the added keyword as a target keyword. Wherein, the explanation of the same or corresponding terms as the above embodiments is not repeated herein.
As shown in fig. 2, the method in the embodiment of the present invention specifically includes the following steps:
S201, determining alternative keywords for describing the consultation result of the consultation request user.
In the present embodiment, two or more alternative keywords for describing the counseling result of the counseling request user may be selected based on the user information. Specifically, the user information includes a history consultation result of the consultation request user and a specified response result provided by a history consultation response user specified by the consultation request user. The historical consultation result can be all consultation results in the consultation record of the consultation request user, and can also be historical consultation results in a designated time period in the consultation record. The history consultation responding user designated by the consultation requesting user can be understood as all consultation responding users who provide the consultation result for the consultation requesting user.
Optionally, determining the alternative keywords for describing the consultation result of the consultation request user includes: counting the occurrence times of each keyword in the historical consultation result and the appointed response result; and sequencing the keywords according to the order of the times from more to less, and selecting a second preset number of keywords in the sequence from front to back as candidate keywords.
Specifically, the more times the keyword appears in the historical consultation result and the specified response result, the higher the matching degree of the keyword and the situation of the consultation request user is. For example, the consultation request user is a user for diagnosis, the history consultation result is a history diagnosis result of the user for diagnosis, the designated response result is a diagnosis result provided by a medical staff for diagnosis designated by the history of the user for diagnosis, and when the keyword "sphagitis" appears in the history diagnosis result and the designated response result for a plurality of times, the diagnosis result is more likely to be "sphagitis". Therefore, the keywords can be ranked according to the occurrence times of the keywords, and the keywords with the largest occurrence times and the second preset number of keywords are selected as candidate keywords.
Optionally, the consultation condition information includes a historical response result of the consultation response user, a historical template and a consultation specialty. Determining alternative keywords for describing the consultation result of the consultation requesting user includes: based on the historical answer results, the historical templates, and the consultation profession, alternative keywords are determined. Specifically, the history template is a template used by the consultation response user to generate a consultation result, and the consultation specialty is the specialty direction of the consultation response user.
S202, calculating alternative scores of the alternative keywords based on the user information and the consultation condition information.
Specifically, the candidate score of the candidate keyword is used to represent the importance level of the corresponding candidate keyword. Optionally, calculating the candidate score of each candidate keyword based on the user information and the consultation condition information includes: determining a first score of a historical consultation result, a second score of a designated response result, a third score of a historical response result, a fourth score of a historical template and a fifth score of a consultation specialty of each candidate keyword; and calculating the weighted sum of the first score, the second score, the third score, the fourth score and the fifth score based on preset weight values, and determining the summed total value as an alternative score. And determining the importance degree of the candidate keywords by determining the scores of the candidate keywords in the aspects of the historical consultation result, the appointed response result, the historical template and the consultation specialty.
S203, sequencing the candidate keywords according to the sequence from big to small of the candidate scores of the candidate keywords, and selecting a first preset number of candidate keywords in the sequence as recommended keywords according to the sequence from front to back.
Specifically, the larger the candidate score of the candidate keyword is, the more important the candidate keyword is for the consultation result, so that the candidate keywords can be ranked according to the candidate score of the candidate keyword, and the first preset number of candidate keywords in the sequence are selected as recommended keywords according to the front-to-back order. Optionally, the first preset number is less than or equal to the number of candidate keywords.
S204, sending the recommended keywords to target consultation terminals corresponding to the consultation response users.
S205, determining target keywords in the recommended keywords based on the received selection information fed back by the target consultation terminal, and generating target consultation results based on the target keywords.
S206, determining whether adding information for adding keywords, which is sent by the target consultation terminal, is received in a preset time period; if so, S207 is entered.
In this embodiment, in addition to the recommended keywords transmitted to the target consultation terminal, the consultation answering user may need to add other keywords as target keywords. After the consultation response user adds the target keyword through the target consultation terminal, the target consultation terminal will send the adding information for adding the keyword.
Specifically, whether the adding information sent by the target consultation terminal is received in a preset time period is detected. It should be noted that, the specific duration of the preset time period may be determined according to the actual application situation, which is not limited in the embodiment of the present invention.
S207, determining an added keyword based on the added information, and determining the added keyword as a target keyword.
Optionally, if the adding information sent by the target consultation terminal is received within the preset time period, determining an adding keyword which the consultation response user wants to add based on the adding information, and taking the adding keyword and the selected recommended keyword as target keywords.
According to the embodiment of the invention, the scores of the alternative keywords in the aspects of the historical consultation result, the appointed response result, the historical template and the consultation specialty are calculated, the alternative scores of the alternative keywords are determined, the recommended keywords are determined based on the alternative scores of the alternative keywords, and the accuracy of the recommended keywords is improved; and the target keywords are determined based on the received added information, so that the flexibility of determining the target keywords is improved.
Example III
In one embodiment, in order to make the technical solution of the method further clear to a person skilled in the art, an application scenario of a user visit is given below. FIG. 3 is a flowchart of a method for generating consultation results in an application scenario according to an embodiment of the present invention; as shown in FIG. 3, the embodiment of the present invention determines the recommendation scores of the recommendation keywords based on both doctor information and the information of the visiting user.
In the embodiment of the invention, the user information authorized by the visiting user comprises: symptoms complaints of the visiting user, visiting records, and visiting user ID (Identity document, identification number). The consultation condition information includes a doctor's prescription template, historical prescription information, specific disease information, and doctor ID.
In a specific implementation, alternative keywords are determined based on the consultation situation information and the user information. Specifically, all keywords appearing in the user information and the consultation condition information can be used as alternative keywords. The occurrence times of the keywords in the user information and the consultation condition information can be counted, and 20 keywords with the largest occurrence times are determined to be candidate keywords. In this embodiment, the alternative keywords include disease names, such as sphagitis, gastroenteritis, and the like.
Optionally, the consultation condition information is input into a doctor interface, and is used for respectively determining a doctor historical prescription score, a doctor prescription template score and a doctor specific disease score of each candidate keyword. User information is entered into the visit user interface for determining the designated doctor's historical prescription score and the visit user's historical prescription score for each of the candidate keywords, respectively. The candidate scores for each candidate keyword are determined based on the doctor's historical prescription score, the doctor's prescription template score, the doctor's specific disease score, the designated doctor's historical prescription score, and the visit user's historical prescription score.
Specifically, the doctor's historical prescription score, the doctor's prescription template score, the doctor's specific disease score, and the visit user's historical prescription score may be calculated by arctan (log (n+1))xexp-a x t, respectively. Wherein a= 0.003851 is the decay factor for a decay period of 180 days; the value range of each score is [0,1]. Further, for doctor specific disease scores, doctor specific disease scores for alternative keywords corresponding to doctor specific disease may be set to 1, and doctor specific disease scores for other alternative keywords may be set to 0.
When calculating the doctor historical prescription score, n represents the prescription amount of the doctor, t represents the time length when the current moment is the last time used for the prescription from the candidate keyword, and the time length unit is days.
Specifically, a doctor can create a prescription template on the consultation terminal, wherein the prescription template comprises information for diagnosing diseases, medicines and the like, and can count the use times of the prescription template, the latest use time of the prescription template corresponding to the alternative keywords and the like. When calculating the score of the template of the doctor prescription, n represents the using times of the template, and t represents the time length from the current time to the last using time of the template corresponding to the candidate keyword.
In the embodiment of the invention, the using object of the prescription is a doctor, so that the history diagnosis condition of the doctor is considered, including the history prescription information of the doctor designated by the doctor and the history prescription information of the doctor. Specifically, a preset number of designated doctors may be selected, and the designated doctor historical prescription score and the visiting user historical prescription score of each designated doctor may be calculated respectively.
When calculating the history prescription score of the designated doctor, n represents the prescription amount of the designated doctor, and t represents the time length from the current time when the designated doctor last used the candidate keyword for the prescription.
When calculating the historical prescription score of the doctor-seeing user, n represents the prescription amount of the candidate keyword in the historical prescription of the doctor-seeing person, and t represents the time length from the moment when the candidate keyword appears last time in the historical prescription of the doctor-seeing person to the current moment.
Specifically, the candidate score of the candidate keyword is used to represent the importance level of the corresponding candidate keyword. And carrying out weighted summation based on the doctor historical prescription score, the doctor prescription template score, the doctor specific disease score, the appointed doctor historical prescription score and the doctor user historical prescription score, and determining the total value after summation as an alternative score. It should be noted that, the weight corresponding to each score may be set according to the actual application situation, which is not limited in the embodiment of the present invention.
Illustratively, the alternative score = 0.3 x doctor history prescription score +0.2 x doctor prescription template score +0.03 x doctor specific disease score +0.4 x designated doctor history prescription score +0.07 x visit user history prescription score.
Specifically, the larger the candidate score of the candidate keyword is, the more important the candidate keyword is for the consultation result, so that the candidate keywords can be ranked according to the candidate score of the candidate keyword, and the first preset number of candidate keywords in the sequence are selected as recommended keywords according to the front-to-back order. Optionally, the first preset number is less than or equal to the number of candidate keywords. The first predetermined number may be 10. Transmitting the determined recommended keywords to a doctor terminal for medical staff to select; and determining the selected recommended keywords as target keywords, and generating diagnosis results corresponding to the visiting user based on the target keywords.
According to the embodiment of the invention, the scores of the alternative keywords in the aspects of the historical consultation result, the appointed response result, the historical template and the consultation specialty are calculated, the alternative scores of the alternative keywords are determined, the recommended keywords are determined based on the alternative scores of the alternative keywords, and the accuracy of the recommended keywords is improved.
Example IV
Fig. 4 is a block diagram of a consultation result generating device according to an embodiment of the present invention, where the device is configured to execute the consultation result generating method provided in any of the foregoing embodiments. The device and the method for generating the consultation result of each embodiment belong to the same invention conception, and the details of the embodiment of the device for generating the consultation result are not described in detail, and reference can be made to the embodiment of the method for generating the consultation result. As shown in fig. 4, the apparatus may specifically include:
A recommendation keyword determining module 10 for determining a recommendation keyword for describing a consultation result of the consultation requesting user based on user information authorized by the consultation requesting user and consultation condition information of the consultation answering user;
The recommendation keyword sending module 11 is used for sending the recommendation keywords to a target consultation terminal corresponding to the consultation response user;
the consultation result generating module 12 is configured to determine a target keyword from the recommended keywords based on the received selection information fed back by the target consultation terminal, and generate a target consultation result based on each target keyword.
Optionally, determining the recommended keywords module 10 includes:
An alternative keyword determining unit for determining an alternative keyword for describing a consultation result of the consultation requesting user; calculating alternative scores of the alternative keywords based on the user information and the consultation condition information; wherein, the alternative score of the alternative keyword is used for representing the importance degree of the corresponding alternative keyword; sequencing the candidate keywords according to the sequence from big to small of the candidate scores of the candidate keywords, and selecting a first preset number of candidate keywords in the sequence from front to back to serve as recommended keywords; wherein the first preset number is less than or equal to the number of candidate keywords.
Optionally, the user information includes a historical consultation result of the consultation request user and a specified response result provided by a historical consultation response user specified by the consultation request user;
determining alternative keyword units, comprising:
The statistics unit is used for counting the occurrence times of each keyword in the historical consultation result and the appointed response result; and sequencing the keywords according to the order of the times from more to less, and selecting a second preset number of keywords in the sequence from front to back as candidate keywords.
Optionally, the consultation condition information includes a historical response result, a historical template and a consultation specialty of the consultation response user;
determining alternative keyword units, comprising:
The alternative score calculating unit is used for determining a first score of a historical consultation result, a second score of a designated response result, a third score of a historical response result, a fourth score of a historical template and a fifth score of a consultation specialty of each alternative keyword; and calculating the weighted sum of the first score, the second score, the third score, the fourth score and the fifth score based on preset weight values, and determining the summed total value as an alternative score.
Optionally, determining the candidate keyword unit includes:
and the alternative keyword determination subunit is used for determining alternative keywords based on the historical response result, the historical template and the consultation specialty.
Optionally, the sending recommended keyword module 11 includes:
The recommendation score determining unit is used for determining recommendation scores corresponding to the recommendation keywords and sequentially sending the corresponding recommendation keywords to the target consultation terminal according to the sequence from the big recommendation score to the small recommendation score corresponding to the recommendation keywords.
Optionally, the apparatus further comprises:
The keyword adding module is used for determining whether the adding information for adding the keywords, which is sent by the target consultation terminal, is received in a preset time period after determining the target keywords in the recommended keywords based on the received selection information fed back by the target consultation terminal; if yes, determining an added keyword based on the added information, and determining the added keyword as a target keyword.
The consultation result generating device provided by the embodiment of the invention can execute the consultation result generating method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
It should be noted that, in the embodiment of the above-mentioned consulting result generating apparatus, each included unit and module is only divided according to the functional logic, but not limited to the above-mentioned division, as long as the corresponding function can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Example five
Fig. 5 is a block diagram of an electronic device according to an embodiment of the present invention. Fig. 5 shows a block diagram of an exemplary electronic device 20 suitable for use in implementing the embodiments of the present invention. The electronic device 20 shown is merely an example and should not be construed to limit the functionality and scope of use of embodiments of the present invention in any way.
As shown in fig. 5, the electronic device 20 is in the form of a general purpose computing device. Components of electronic device 20 may include, but are not limited to: one or more processors or processing units 201, a system memory 202, and a bus 203 that connects the various system components (including the system memory 202 and the processing units 201).
Bus 203 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, micro channel architecture (MAC) bus, enhanced ISA bus, video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.
Electronic device 20 typically includes a variety of computer system readable media. Such media can be any available media that is accessible by electronic device 20 and includes both volatile and nonvolatile media, removable and non-removable media.
The system memory 202 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM) 204 and/or cache memory 205. The electronic device 20 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 206 may be used to read from or write to non-removable, nonvolatile magnetic media. A magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk such as a CD-ROM, DVD-ROM, or other optical media may be provided. In these cases, each drive may be coupled to bus 203 through one or more data medium interfaces. Memory 202 may include at least one program product having a set (e.g., at least one) of program modules configured to carry out the functions of embodiments of the invention.
A program/utility 208 having a set (at least one) of program modules 207 may be stored in, for example, memory 202, such program modules 207 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment. Program modules 207 generally perform the functions and/or methods of the embodiments described herein.
The electronic device 20 may also communicate with one or more external devices 209 (e.g., keyboard, pointing device, display 210, etc.), one or more devices that enable a user to interact with the electronic device 20, and/or any devices (e.g., network card, modem, etc.) that enable the electronic device 20 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 211. Also, electronic device 20 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 212. As shown, network adapter 212 communicates with other modules of electronic device 20 over bus 203. It should be appreciated that other hardware and/or software modules may be used in connection with electronic device 20, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
The processing unit 201 executes various functional applications and data processing by running programs stored in the system memory 202.
The electronic equipment provided by the invention can realize the following method: determining a recommendation keyword for describing a consultation result of the consultation request user based on user information authorized by the consultation request user and consultation condition information of the consultation response user; sending the recommended keywords to a target consultation terminal corresponding to the consultation response user; and determining target keywords from the recommended keywords based on the received selection information fed back by the target consultation terminal, and generating target consultation results based on the target keywords. Therefore, the consultation response user can automatically generate the corresponding target consultation result by selecting the recommended keywords, the generation efficiency of the target consultation result is improved, the time and the workload of the consultation response user are greatly reduced, and the consultation efficiency is improved; and the process of generating the target consultation result is not easy to make mistakes, so that the user experience is improved.
Example six
Embodiments of the present invention provide a storage medium containing computer-executable instructions, which when executed by a computer processor, are configured to perform a method of consulting outcome generation, the method comprising: determining a recommendation keyword for describing a consultation result of the consultation request user based on user information authorized by the consultation request user and consultation condition information of the consultation response user; sending the recommended keywords to a target consultation terminal corresponding to the consultation response user; and determining target keywords from the recommended keywords based on the received selection information fed back by the target consultation terminal, and generating target consultation results based on the target keywords. Therefore, the consultation response user can automatically generate the corresponding target consultation result by selecting the recommended keywords, the generation efficiency of the target consultation result is improved, the time and the workload of the consultation response user are greatly reduced, and the consultation efficiency is improved; and the process of generating the target consultation result is not easy to make mistakes, so that the user experience is improved.
Of course, the storage medium containing the computer executable instructions provided in the embodiments of the present invention is not limited to the method operations described above, and may also perform the related operations in the consultation result generating method provided in any embodiment of the present invention.
The computer storage media of embodiments of the invention may take the form of any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for embodiments of the present invention may be written in one or more programming languages, including an object oriented programming language such as Java, smalltalk, C ++ and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computer (for example, through the Internet using an Internet service provider).
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (8)
1. A consultation result generating method, comprising:
Determining a recommendation keyword for describing a consultation result of a consultation request user based on user information authorized by the consultation request user and consultation condition information of a consultation response user;
Sending the recommended keywords to a target consultation terminal corresponding to the consultation response user;
Determining target keywords in the recommended keywords based on the received selection information fed back by the target consultation terminal, and generating target consultation results based on the target keywords;
The determining a recommendation keyword for describing a consultation result of the consultation request user based on user information authorized by the consultation request user and consultation condition information of the consultation response user includes:
determining alternative keywords for describing the consultation result of the consultation request user;
Calculating alternative scores of the alternative keywords based on the user information and the consultation condition information; wherein, the alternative score of the alternative keyword is used for representing the importance degree of the corresponding alternative keyword; the user information comprises historical consultation results of the consultation request user and specified response results provided by a historical consultation response user specified by the consultation request user; the historical consultation result is a historical consultation result of a designated time period in the consultation record, and the alternative score is determined based on a weighted sum total value of a doctor historical prescription score, a doctor prescription template score, a doctor specific disease score, a designated doctor historical prescription score and a doctor user historical prescription score;
Ranking the candidate keywords according to the sequence from big to small of candidate scores of the candidate keywords, and selecting a first preset number of the candidate keywords in the sequence as the recommended keywords according to the sequence from front to back; wherein the first preset number is less than or equal to the number of the candidate keywords;
the determining the alternative keywords for describing the consultation result of the consultation request user comprises the following steps:
counting the occurrence times of each keyword in the historical consultation result and the appointed response result;
And sequencing the keywords according to the order of the times from more to less, and selecting a second preset number of keywords in the sequence from front to back as the alternative keywords.
2. The method according to claim 1, wherein the consultation condition information includes a history answer result, a history template, and a consultation specialty of the consultation answer user;
the calculating the candidate score of each candidate keyword based on the user information and the consultation condition information comprises the following steps:
Determining a first score of the historical consultation result, a second score of the specified response result, a third score of the historical response result, a fourth score of the historical template and a fifth score of the consultation specialty of each of the candidate keywords;
and calculating the weighted sum of the first score, the second score, the third score, the fourth score and the fifth score based on preset weight values, and determining the summed total value as the alternative score.
3. The method of claim 2, wherein the determining the alternative keywords for describing the counseling result of the counseling requesting user comprises:
and determining the alternative keywords based on the historical response results, the historical templates and the consultation profession.
4. The method of claim 1, wherein the sending the recommended keyword to the target consultation terminal corresponding to the consultation answering user includes:
determining a recommendation score corresponding to each of the recommendation keywords,
And sequentially sending the corresponding recommended keywords to the target consultation terminal according to the sequence from big to small of the recommended scores corresponding to the recommended keywords.
5. The method of claim 1, further comprising, after determining a target keyword among the recommended keywords based on the received selection information fed back by the target consultation terminal:
determining whether adding information for adding keywords, which is sent by the target consultation terminal, is received within a preset time period;
And if so, determining an added keyword based on the added information, and determining the added keyword as the target keyword.
6. A consultation result generating apparatus, comprising:
A recommendation keyword determining module, configured to determine a recommendation keyword for describing a consultation result of a consultation request user based on user information authorized by the consultation request user and consultation condition information of a consultation response user;
the recommendation keyword sending module is used for sending the recommendation keywords to target consultation terminals corresponding to the consultation response users;
The consultation result generation module is used for determining target keywords from the recommended keywords based on the received selection information fed back by the target consultation terminal, and generating target consultation results based on the target keywords;
the determining recommended keyword module includes:
An alternative keyword determining unit for determining an alternative keyword for describing a consultation result of the consultation requesting user; calculating alternative scores of the alternative keywords based on the user information and the consultation condition information; wherein, the alternative score of the alternative keyword is used for representing the importance degree of the corresponding alternative keyword; the user information comprises historical consultation results of the consultation request user and specified response results provided by a historical consultation response user specified by the consultation request user; the historical consultation result is a historical consultation result of a designated time period in the consultation record, and the alternative score is determined based on a weighted sum total value of a doctor historical prescription score, a doctor prescription template score, a doctor specific disease score, a designated doctor historical prescription score and a doctor user historical prescription score; ranking the candidate keywords according to the sequence from big to small of candidate scores of the candidate keywords, and selecting a first preset number of the candidate keywords in the sequence as the recommended keywords according to the sequence from front to back; wherein the first preset number is less than or equal to the number of the candidate keywords;
the determining the candidate keyword unit comprises the following steps:
The statistics unit is used for counting the occurrence times of each keyword in the historical consultation result and the appointed response result; and sequencing the keywords according to the order of the times from more to less, and selecting a second preset number of keywords in the sequence from front to back as the alternative keywords.
7. An electronic device, comprising:
One or more processors;
A memory for storing one or more programs;
The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the consultation result generation method of any of claims 1-5.
8. A computer-readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor implements the consultation result generation method of any of claims 1-5.
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